Presentation + Paper
4 April 2022 3D segmentation of the left atrial appendage in computed tomography for planning of transcatheter occlusion
Author Affiliations +
Abstract
In this study, a strategy to segment the LAA in 3D CT images is presented. This method relies on our recent curvilinear blind-ended model implemented into the B-spline Explicit Active Surface framework for ultrasound images. Starting from a manual identification of the LAA centerline, a curvilinear blind-ended model is initialized and refined to the anatomy through a double-step strategy with fast contour growing and surface refinement. This pipeline was tested in 15 patients, corroborating its high accuracy in terms of segmentation accuracy and narrow limits of agreement for the relevant clinical measurements.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pedro Morais, Dominik Nelles, Jan Wilko Schrickel, Georg Nickenig, Jan D’hooge, Alexander Sedaghat, and João L. Vilaça "3D segmentation of the left atrial appendage in computed tomography for planning of transcatheter occlusion", Proc. SPIE 12034, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, 120340Q (4 April 2022); https://doi.org/10.1117/12.2610705
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KEYWORDS
Image segmentation

3D modeling

Computed tomography

3D image processing

3D metrology

3D acquisition

Atrial fibrillation

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